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» Modeling Image Textures by Gibbs Random Fields
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112
Voted
DCC
2003
IEEE
16 years 3 days ago
Estimation-Quantization Geometry Coding Using Normal Meshes
We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the EstimationQuantization (EQ) algorithm originally des...
Sridhar Lavu, Hyeokho Choi, Richard G. Baraniuk
134
Voted
MICCAI
2010
Springer
14 years 10 months ago
Improving Deformable Surface Meshes through Omni-Directional Displacements and MRFs
Abstract. Deformable surface models are often represented as triangular meshes in image segmentation applications. For a fast and easily regularized deformation onto the target obj...
Dagmar Kainmueller, Hans Lamecker, Heiko Seim, Ste...
CVPR
2007
IEEE
16 years 2 months ago
Efficient Belief Propagation for Vision Using Linear Constraint Nodes
Belief propagation over pairwise connected Markov Random Fields has become a widely used approach, and has been successfully applied to several important computer vision problems....
Brian Potetz
CVPR
2012
IEEE
13 years 3 months ago
A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
Dijia Wu, David Liu, Zoltan Puskas, Chao Lu, Andre...
140
Voted
CVPR
2007
IEEE
15 years 10 months ago
Partially Occluded Object-Specific Segmentation in View-Based Recognition
We present a novel object-specific segmentation method which can be used in view-based object recognition systems. Previous object segmentation approaches generate inexact results ...
Minsu Cho (Seoul National University), Kyoung Mu L...